{"id":"W4220859338","doi":"10.1038/s41422-022-00649-3","title":"Amplifying natural antitumor immunity for personalized immunotherapy","year":2022,"lang":"en","type":"letter","venue":"Cell Research","topic":"Immunotherapy and Immune Responses","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Biology; Immunity; Immunotherapy; Immunology; Tumor immunology; Innate immune system; Computational biology; Immune system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.003664621,0.0006604333,0.001010355,0.001029005,0.003174642,0.0001922261,0.002297298,0.001304739,0.01623853],"category_scores_gemma":[0.0003041635,0.0006236711,0.0008201311,0.000616627,0.001325563,0.0001511052,0.0005501713,0.01166296,0.0008230051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005021525,"about_ca_system_score_gemma":0.0008615149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004039824,"about_ca_topic_score_gemma":0.000002896148,"domain_scores_codex":[0.9916103,0.004174327,0.0006971689,0.0009546248,0.0003930711,0.002170514],"domain_scores_gemma":[0.9931278,0.004519273,0.0002831648,0.001516735,0.000530304,0.00002277204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003394957,0.0001279859,0.000006786289,0.0002470021,0.0004260084,0.00005728716,0.0007432975,2.693096e-7,0.3266142,0.00006520663,0.6645194,0.003797518],"study_design_scores_gemma":[0.003853095,0.0008641891,0.00003435189,0.00007039001,0.00003115341,0.0001050663,0.000725059,0.000001395375,0.04762752,0.0001601974,0.945874,0.0006535792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.0463663,0.6563935,0.0002562052,0.2586203,0.01463225,0.009248083,0.001597353,0.0007024142,0.01218356],"genre_scores_gemma":[0.01300244,0.008421314,0.0002040927,0.1416127,0.00121344,0.002388008,0.009157307,0.0005245774,0.8234761],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8112925,"threshold_uncertainty_score":0.9999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0799872206795665,"score_gpt":0.3614352896901988,"score_spread":0.2814480690106323,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}